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* Add 9 Arize LLM observability skills Add skills for Arize AI platform covering trace export, instrumentation, datasets, experiments, evaluators, AI provider integrations, annotations, prompt optimization, and deep linking to the Arize UI. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add 3 Phoenix AI observability skills Add skills for Phoenix (Arize open-source) covering CLI debugging, LLM evaluation workflows, and OpenInference tracing/instrumentation. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Ignoring intentional bad spelling * Fix CI: remove .DS_Store from generated skills README and add codespell ignore Remove .DS_Store artifact from winmd-api-search asset listing in generated README.skills.md so it matches the CI Linux build output. Add queston to codespell ignore list (intentional misspelling example in arize-dataset skill). Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Add arize-ax and phoenix plugins Bundle the 9 Arize skills into an arize-ax plugin and the 3 Phoenix skills into a phoenix plugin for easier installation as single packages. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fix skill folder structures to match source repos Move arize supporting files from references/ to root level and rename phoenix references/ to rules/ to exactly match the original source repository folder structures. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> * Fixing file locations * Fixing readme --------- Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Arize Link Examples
Placeholders used throughout:
{org_id}— base64-encoded org ID{space_id}— base64-encoded space ID{project_id}— base64-encoded project ID{start_ms}/{end_ms}— epoch milliseconds (e.g. 1741305600000 / 1741392000000)
Trace
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm
Span (trace + span highlighted)
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&selectedSpanId={span_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm
Session
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm
Dataset (examples tab)
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}?selectedTab=examples
Dataset (experiments tab)
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}?selectedTab=experiments
Labeling Queue list
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/queues
Labeling Queue (specific)
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/queues/{queue_id}
Evaluator (latest version)
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}
Evaluator (specific version)
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}?version={version_url_encoded}
Annotation Configs
https://app.arize.com/organizations/{org_id}/spaces/{space_id}/annotation-configs